Quantitative Research

Interview process started with a phone screen that began with a series of mental math questions (think quickly computing nth roots in your head, undergrad level probability questions, etc.). After that, was called on to an onsite that consisted of a day full of hour long interviews, along with an exam in between. The interview process was very thorough: tested me on advanced probability concepts, math proofs, data science/analysis capabilities, details of how very specific machine learning algorithms work, and grad level algorithm problems (my background is in computer science). The interviewers were kind but unyielding and would provide few hints.

Afterwards, I was asked to complete a background check (prior to receiving the offer) and was also asked for 5 letters of recommendation (the 5 part was suggested but not required, and I only submitted 4 which ended up working out fine).